Consensome (beta): summary

Consensomes are list of genes ranked according to a meta-analysis of their differential expression in publicly archived transcriptomic datasets involving perturbations of a specific signaling pathway in a given biosample category. Consensome are intended as a guide to identifying those genes most consistently impacted by a given pathway in a given tissue context.

Calculated across X data points from Y experiments in Z datasets.

Rank

Gene Symbol

Discovery Rate

GMFC

Consensome Score

View data points in Transcriptomine

Rank

Gene Symbol

Discovery Rate

GMFC

Consensome Score

View data points in Transcriptomine

Consensome (beta): requirements

There are 0 Transcriptomine experiments that match the selected pathway/biosample category/species options. A minimum of 4 experiments is required to generate a Consensome. Please check back on our dataset directory regularly as new datasets are added on a regular basis.

Consensome (beta): error

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Fold Change Information x

Note: To optimize server performance, up to 1000 results can be viewed in your web browser or downloaded; results over 1000 will be downloadable only; results which exceed Excel row limitations (approx. 66,000) are available upon request by contacting support@nursa.org

Fold Change Details

No Results

Too Many Results

Error

Your query will return > 1000 data points, which exceeds the cap on the number that can be currently browsed in Transcriptomine (1000).

To reduce the number of data points, please increase the stringency of the p-value from its default setting (e.g. Select “Other”, then enter 0.01, 0.001, etc), or narrow your search to a specific biosample category (e.g. Metabolic…Liver).

There are > 1000 data points for the selected fold change values. Currently there is a 1000 point limit to the graph.

Your query will return > 66,000 data points, which exceeds the cap on the number that can be currently browsed in Transcriptomine (1000) or which can be downloaded in Excel (approx. 66,000).

To reduce the number of data points, please increase the stringency of the p-value cut-off from its default setting (e.g. Select “Other”, then enter 0.01, 0.001, etc), or narrow your search to a specific biosample category (e.g. Metabolic…Liver).

If you still require assistance with obtaining a large set of results, e-mail us at support@nursa.org

There was an error while processing your request. Please refresh the page and try again. If you continue to experience this please e-mail us at support@nursa.org

There was an error while processing your request. Please refresh the page and try again. If you continue to experience this please e-mail us at support@nursa.org

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